Llama2-Medical-Chatbot is a medical chatbot that uses the Llama-2-7B-Chat-GGML model and the pdf The Gale Encyclopedia of Medicine, Volume 1, 2nd Edition. It is still under development, but it has the potential to be a valuable tool for patients, healthcare professionals, and researchers.

The Llama-2-GGML-CSV-Chatbot is a conversational tool leveraging the powerful Llama-2 7B language model. It facilitates multi-turn interactions based on uploaded CSV data, allowing users to engage in seamless conversations.

To make LLM faster we need faster retrieval system. Here comes Embedding Quantization. Embedding quantization is great technique to save cost on Vector DB, significantly faster retrieval while preserving retrieval performance.

A Semantic A* Pathfinding agent that navigates Wikipedia using high-dimensional vector space. Built with Python, BeautifulSoup4, and Sentence-Transformers to bridge unrelated concepts through semantic context rather than just keywords.

MediChat: An AI-powered medical chatbot using the Llama-2-7B-Chat model for precise clinical responses. Integrates Chroma DB and all-MiniLM-L6-v2 embeddings trained on medical literature, including texts like Clinical Emergency Medicine and Gale Encyclopedia. Accurate, fast, and reliable for healthcare queries.

This project showcases how to use AWS Lambda Managed Instances with AI/ML capabilities for real-time customer analytics

This repo contains codes for RAG using docling on colab notebook with langchain, milvus, huggingface embedding model and LLM

A RAG to deal with multiple documents simultaneously using Weaviate, Mistral-7B-v0.1 and Langchain.

NLP for yaskawa robot

Real-time prompt injection firewall for LLM applications. Detects jailbreaks, prompt leaks, indirect injections, and adversarial prompts.

Implementing Vector Database on CoNaLa dataset to retrieve program snippets relevant to user queries. This is a very simple simulation of a Vector Database.

Scrapping products from well known e-com. sites like Amazon, Flipkart and Myntra. This tool allows to scrape and compare the products with information like price, delivery, image, company, revirews etc.

👽SFSeeker - an AI assistant with a semantic engine/question writing tutor in Sci-Fi Stack Exchange service

BUDDY is a scalable, multi-agent AI platform that replaces static resumes with adaptive technical interviews to verify true proficiency. It leverages a deterministic scoring engine and a FAISS-backed RAG pipeline to instantly translate knowledge gaps into personalized learning roadmaps.

Agentic HR Operations Assistant is an NLP-powered system that answers complex HR policy queries using RAG and executes HR actions from natural language.

Blazing fast NPCs with Spatio-Temporal awareness inside Unreal Engine

This is a RAG-powered chatbot for answering questions about West End and Broadway theatre. It combines a curated PDF knowledge base with RAG pipeline to provide accurate ,source backed answers about shows , productions , venues and people behind them.

Example desktop app for running ai models without internet

AI-Powered Research Assistant – A smart tool that helps researchers find relevant papers, recommend journals, ask questions about content, humanize AI text, and detect AI-generated writing. Powered by Large Language Models for enhanced research productivity.